Booking Reviews Scraper

Export public Booking.com guest reviews from hotel and destination review pages to CSV, JSON, Excel, or API workflows.

Use this Actor to monitor hotel reputation, analyze guest feedback, compare traveler sentiment, or feed public Booking.com reviews into BI and support workflows.

Who is it for?

• Hotel operators tracking guest satisfaction and recurring issues.
• Travel reputation teams exporting public guest feedback for reporting.
• OTAs, tourism researchers, and analysts comparing review signals by property or market.
• Automation teams feeding Booking.com review datasets into dashboards, alerts, or LLM workflows.

Input recipes

• Smoke test: one Booking.com hotel URL, maxReviews: 10.
• Hotel monitoring: add one or more public Booking.com hotel pages and schedule repeat runs.
• Destination research: add public Booking.com review pages for a city or market and cap saved reviews.

Example input

{
  "startUrls": [
    { "url": "https://www.booking.com/hotel/us/the-new-yorker.html" }
  ],
  "maxReviews": 10,
  "sort": "source",
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example output

{
  "hotelUrl": "https://www.booking.com/hotel/us/the-new-yorker.html",
  "hotelName": "The New Yorker, Whitefish (updated prices 2026)",
  "reviewId": "https://www.booking.com/hotel/us/the-new-yorker.html#review-1",
  "reviewTitle": null,
  "reviewText": "Guest review text from Booking.com...",
  "score": 9.0,
  "reviewerName": null,
  "reviewerCountry": null,
  "scrapedAt": "2026-07-12T08:30:00.000Z"
}

What data can you extract?

Field	Description
hotelUrl	Source Booking.com hotel or review URL.
hotelName	Hotel or page title found on Booking.com.
reviewId	Stable review row identifier when available or generated from the source URL.
reviewUrl	Direct review URL when available.
reviewTitle	Review title when visible.
reviewText	Combined public guest review text.
positiveText	Positive part of the review when Booking.com separates it.
negativeText	Negative part of the review when Booking.com separates it.
score	Review score when visible.
maxScore	Maximum score scale, usually 10.
reviewDate	Date the review was published.
stayDate	Stay month/date shown by Booking.com.
roomType	Room type mentioned on the review.
travelerType	Traveler type or trip context.
reviewerName	Reviewer name when visible.
reviewerCountry	Reviewer country when visible.
language	Locale hint used for the run.
hotelReply	Hotel response when visible.
scrapedAt	ISO timestamp when the review was saved.

Input configuration

Setting	JSON key	Use it for	Example
Booking.com URLs	startUrls	Public hotel or review pages to scrape.	[{"url":"https://www.booking.com/hotel/us/the-new-yorker.html"}]
Maximum reviews	maxReviews	Cap saved reviews and control spend.	10
Sort order	sort	Prefer source default, recent, or score-based ordering when available.	source
Language / locale	language	Locale hint for Booking.com review pages.	en-US
Proxy configuration	proxyConfiguration	Use Apify Proxy; residential is recommended for Booking.com.	{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}

Pricing

Tier	Run start	Review saved
Free	$0.010	$0.00318
Bronze	$0.010	$0.00276
Silver	$0.010	$0.00216
Gold	$0.010	$0.00166
Platinum	$0.010	$0.00111
Diamond	$0.010	$0.00077

Tips and limits

• Start with maxReviews: 10 for the first run.
• Use only public Booking.com pages; the Actor does not use accounts, cookies, or private credentials.
• Large runs may need residential proxy bandwidth, so scale gradually after checking output quality.

API usage

Node.js:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/booking-reviews-scraper').call({
  startUrls: [{ url: 'https://www.booking.com/hotel/us/the-new-yorker.html' }],
  maxReviews: 10,
});
console.log(run.defaultDatasetId);

Python:

from apify_client import ApifyClient
client = ApifyClient('APIFY_TOKEN')
run = client.actor('fetch_cat/booking-reviews-scraper').call(run_input={
    'startUrls': [{'url': 'https://www.booking.com/hotel/us/the-new-yorker.html'}],
    'maxReviews': 10,
})
print(run['defaultDatasetId'])

cURL:

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~booking-reviews-scraper/runs?token=APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"startUrls":[{"url":"https://www.booking.com/hotel/us/the-new-yorker.html"}],"maxReviews":10}'

MCP / agent usage

Use the Apify MCP server with ?tools=fetch_cat/booking-reviews-scraper to let agents run Booking.com review exports and retrieve datasets.

Claude CLI add command:

$claude mcp add apify-booking-reviews https://mcp.apify.com/?tools=fetch_cat/booking-reviews-scraper

JSON config block:

{
  "mcpServers": {
    "apify-booking-reviews": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/booking-reviews-scraper"
    }
  }
}

Example prompts:

• "Run Booking Reviews Scraper for this Booking.com hotel URL and summarize low-score complaints."
• "Export 25 public Booking.com reviews and return the dataset URL."

Legality and responsible use

This Actor extracts publicly available Booking.com review information. Use it responsibly, respect Booking.com terms, avoid collecting personal data you do not need, and comply with privacy laws and internal retention policies.

Related actors

• Airbnb Reviews Scraper
• Agoda Reviews Scraper
• Trip.com Hotels Scraper

FAQ

Do I need a Booking.com login? No. This Actor is designed for public pages only.

Can I export the data? Yes. Apify datasets export to CSV, JSON, Excel, XML, and API.

Why use a proxy? Booking.com may challenge direct traffic; Apify Proxy helps runs behave like normal browsing sessions.

Support

Questions or issues? Open an issue on the Actor page in Apify Console and include:

• run ID
• input JSON
• reproducible public URL
• expected output
• actual output